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"No prominent developer of AI foundation models - a list including companies like OpenAI and Meta - is releasing sufficient information about their potential impact on society, determines a new report from Stanford HAI (Human-Centered Artificial Intelligence). Today, Stanford HAI released its Foundation Model Transparency Index, which tracked whether creators of the 10 most popular AI models disclose information about their work and how people use their systems. Among the models it tested, Meta's Llama 2 scored the highest, followed by BloomZ and then OpenAI's GPT-4. But none of them, it turned out, got particularly high marks."

"Researchers at Stanford have developed face-capture technology that can alter pre-recorded videos in real-time on low cost computers. In other words, you can make George W Bush or Donald Trump appear intelligent. "

"London-born Stanford student Joshua Browder created DoNotPay initially to help people appeal against fines for unpaid parking tickets. Dubbed "the world's first robot lawyer", Browder later programmed it to deal with a wider range of legal issues, such as claiming for delayed flights and trains and payment protection insurance (PPI)."

"Facebook will rely on users to report fake news despite evidence that suggests users have a difficult time assessing or identifying fake news. Teens seem to be especially vulnerable to fake news. A recent study by researchers at Stanford found that middle and high school students have a difficult time detecting fake news from real news, or detecting bias in tweets and Facebook statuses."

""The human can provide the robot with intuition, expertise and cognitive abilities. The robot can do things in areas too dangerous for a human, while the human is still there," he told Stanford News last week."

Sounds a bit extreme just to make sure no one can log on to your laptop or smartphone, but a team of researchers from Stanford and Northwestern universities as well as SRI International is nonetheless experimenting at the computer-, cognitive- and neuroscience intersection to combat identity theft and shore up cyber security-by taking advantage of the human brain's innate abilities to learn and recognize patterns.